Electronic and electrical appliance control method and control equipment based on reinforcement learning, and storage medium

A technology that strengthens learning and control methods. It is applied in the direction of electrical program control, machine learning, and program control. It can solve problems such as affecting actions, affecting rewards, and affecting the environment, and achieve the effect of improving use efficiency and efficient use effects

Active Publication Date: 2020-06-26
南京三满互联网络科技有限公司
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AI Technical Summary

Problems solved by technology

In general, an action will not only affect the current reward, but also affect the environment at the next time point, so it will also affect all subsequent rewards
Because the actio

Method used

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  • Electronic and electrical appliance control method and control equipment based on reinforcement learning, and storage medium

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Embodiment Construction

[0019] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0020] The present invention designs an electronic appliance control method based on reinforcement learning, which is used to realize the separate control of each appliance for each appliance with a scene automatic control function. The appliances in the application specifically include strong current equipment and weak current equipment; for each electrical appliance, such as figure 1 As shown, based on the working process of the electrical appliances according to the corresponding initial automatic control scenarios, different control methods for the electrical appliances are implemented for the following states of the electrical appliances.

[0021] State 1. The electrical appliance is in a non-starting state. If the electrical appliance receives an artificial opening action to work, the current time and the opening ac...

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Abstract

The invention relates to an electronic appliance control method based on reinforcement learning. For an electronic appliance with an automatic scene control function, reinforcement learning control policies are applied, intervention control of a user on electronic and electrical equipment continuously is acquired to serve as decision input of reinforcement learning, a scene algorithm model adapting to automatic control of equipment under different scenes of a user is dynamically generated, a scene algorithm model of an automatic working mode of the electronic appliance closest to the use habitof the user is obtained, and the use efficiency of the electronic appliance is improved. The design method is applied to various electronic appliances, so that optimization and updating of a self-learning mode of automatic control of all-electronic appliance scenes are realized, and a better automatic scene control method is provided for smart homes and smart offices.

Description

technical field [0001] The invention relates to a control method for electronic appliances based on reinforcement learning, a control device, and a storage medium, and belongs to the technical field of building IoT intelligence. Background technique [0002] At present, most of the smart home systems on the market rely on the two functions of "scene" and "automation" to complete most of the functions, and the control method mainly relies on voice control or mobile phone control. Although many users feel that artificial intelligence is very developed now, the system should be able to learn user habits by itself, and be able to automatically apply scenarios centered on the home, home devices and the outside world for interaction and feedback (through device monitoring and automatic linkage with scene devices, it can collect personal or environmental information ), thereby greatly improving the comfort of home life, but in fact, the current application of AI in the field of sma...

Claims

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Application Information

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IPC IPC(8): G05B15/02G05B19/418G06N20/00
CPCG05B15/02G05B19/418G05B2219/2642G06N20/00
Inventor 刘强许弘
Owner 南京三满互联网络科技有限公司
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